一种基于数据间相关性的激光喷丸声学监测技术

发布时间：2018-01-04 22:28

本文关键词：一种基于数据间相关性的激光喷丸声学监测技术　出处：《振动与冲击》2017年04期 　论文类型：期刊论文

【摘要】：激光喷丸作为一种新兴的金属材料表面强化技术,与普通喷丸相比,具有更显著的改性作用,使其在航空等领域有着重要的应用价值。随着该技术的工业化程度不断加深,需要加强对其工作状态的监测诊断,保证其良好的运行状况。由于声学信号不仅携带有丰富的工作特征信息,而且获取成本较低,并能够实现无损检测,所以将声学信号应用于激光喷丸的状态监测。通过分析由等离子体冲击波衰减所产生的声波信号,提取信号特征,进行过程监测。针对于冲击信号的非线性特征,从信号内相邻数据间相关性的角度,提出了一种新的冲击声信号特征挖掘方法。一方面对于模拟冲击信号进行了分析,另一方面,对于激光喷丸实际声信号进行了处理,表明该方法能够识别冲击信号的特征变化,可以用于监测激光喷丸的工作过程,操作简单且速度较快,具有较好的应用前景。
[Abstract]:Laser shot peening as a new metal material surface strengthening technology, compared with the ordinary shot peening, has a more significant effect on modification. It has important application value in aviation and other fields. With the deepening of industrialization of the technology, it is necessary to strengthen the monitoring and diagnosis of its working status. Because acoustic signal not only carries abundant working characteristic information, but also has low cost, and can realize nondestructive testing. So the acoustic signal is applied to the state monitoring of laser shot peening. By analyzing the acoustic signal produced by the attenuation of the plasma shock wave, the characteristics of the signal are extracted. According to the nonlinear characteristics of the impulse signal, from the angle of the correlation between adjacent data in the signal. In this paper, a new method for feature mining of shock acoustic signals is proposed. On the one hand, the analog shock signals are analyzed; on the other hand, the actual acoustic signals of laser shot peening are processed. The results show that this method can recognize the characteristic changes of impulse signal and can be used to monitor the working process of laser shot peening.
【作者单位】：空军工程大学航空航天工程学院;北京航空航天大学能源与动力工程学院;
【基金】：国家自然科学基金资助项目(51205406)
【分类号】：TN249
【正文快照】： 激光喷丸技术,是一种新兴的金属材料表面强化技术,近些年来不断发展,在航空等领域都具有重要的应用价值[1]。它借助强激光诱导产生的超强冲击波,产生更多的位错密度和剩余压应力,达到比普通喷丸更强的处理效果,显著延长金属材料的疲劳寿命、改善材料的抗腐蚀断裂能力[2]。随着

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